Dataset statistics
| Number of variables | 22 |
|---|---|
| Number of observations | 491 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 84.5 KiB |
| Average record size in memory | 176.3 B |
Variable types
| Categorical | 13 |
|---|---|
| Numeric | 9 |
AgeBaseline is highly overall correlated with eGFRBaseline | High correlation |
CreatinineBaseline is highly overall correlated with eGFRBaseline and 1 other fields | High correlation |
eGFRBaseline is highly overall correlated with AgeBaseline and 1 other fields | High correlation |
sBPBaseline is highly overall correlated with dBPBaseline | High correlation |
dBPBaseline is highly overall correlated with sBPBaseline | High correlation |
BMIBaseline is highly overall correlated with HistoryObesity | High correlation |
TimeToEventMonths is highly overall correlated with TIME_YEAR | High correlation |
TIME_YEAR is highly overall correlated with TimeToEventMonths | High correlation |
Sex is highly overall correlated with CreatinineBaseline | High correlation |
HistoryDiabetes is highly overall correlated with DMmeds | High correlation |
HistoryHTN is highly overall correlated with HTNmeds and 1 other fields | High correlation |
HistoryDLD is highly overall correlated with DLDmeds | High correlation |
HistoryObesity is highly overall correlated with BMIBaseline | High correlation |
DLDmeds is highly overall correlated with HistoryDLD | High correlation |
DMmeds is highly overall correlated with HistoryDiabetes | High correlation |
HTNmeds is highly overall correlated with HistoryHTN and 1 other fields | High correlation |
ACEIARB is highly overall correlated with HistoryHTN and 1 other fields | High correlation |
HistoryCHD is highly imbalanced (55.8%) | Imbalance |
HistoryVascular is highly imbalanced (67.6%) | Imbalance |
TimeToEventMonths has 6 (1.2%) zeros | Zeros |
TIME_YEAR has 10 (2.0%) zeros | Zeros |
Reproduction
| Analysis started | 2023-11-20 15:09:14.462050 |
|---|---|
| Analysis finished | 2023-11-20 15:09:31.705568 |
| Duration | 17.24 seconds |
| Software version | ydata-profiling vv4.6.1 |
| Download configuration | config.json |
Sex
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.0 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 491 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 250 | |
| 0 | 241 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 250 | |
| 0 | 241 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 250 | |
| 0 | 241 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 491 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 250 | |
| 0 | 241 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 491 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 250 | |
| 0 | 241 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 491 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 250 | |
| 0 | 241 |
AgeBaseline
Real number (ℝ)
HIGH CORRELATION
| Distinct | 59 |
|---|---|
| Distinct (%) | 12.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 53.203666 |
| Minimum | 23 |
|---|---|
| Maximum | 89 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.0 KiB |
Quantile statistics
| Minimum | 23 |
|---|---|
| 5-th percentile | 28 |
| Q1 | 44 |
| median | 54 |
| Q3 | 64 |
| 95-th percentile | 75 |
| Maximum | 89 |
| Range | 66 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 13.821282 |
|---|---|
| Coefficient of variation (CV) | 0.25978062 |
| Kurtosis | -0.64254322 |
| Mean | 53.203666 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | -0.23450907 |
| Sum | 26123 |
| Variance | 191.02782 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 55 | 17 | 3.5% |
| 56 | 17 | 3.5% |
| 54 | 16 | 3.3% |
| 50 | 15 | 3.1% |
| 44 | 14 | 2.9% |
| 61 | 14 | 2.9% |
| 64 | 14 | 2.9% |
| 69 | 14 | 2.9% |
| 51 | 13 | 2.6% |
| 53 | 13 | 2.6% |
| Other values (49) | 344 |
| Value | Count | Frequency (%) |
| 23 | 1 | 0.2% |
| 24 | 3 | 0.6% |
| 25 | 3 | 0.6% |
| 26 | 8 | |
| 27 | 8 | |
| 28 | 3 | 0.6% |
| 29 | 7 | |
| 30 | 6 | |
| 31 | 9 | |
| 32 | 5 |
| Value | Count | Frequency (%) |
| 89 | 1 | 0.2% |
| 80 | 1 | 0.2% |
| 79 | 6 | |
| 78 | 2 | 0.4% |
| 77 | 4 | |
| 76 | 7 | |
| 75 | 5 | |
| 74 | 7 | |
| 73 | 4 | |
| 72 | 5 |
HistoryDiabetes
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.0 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 491 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 276 | |
| 1 | 215 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 276 | |
| 1 | 215 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 276 | |
| 1 | 215 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 491 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 276 | |
| 1 | 215 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 491 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 276 | |
| 1 | 215 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 491 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 276 | |
| 1 | 215 |
HistoryCHD
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.0 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 491 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 446 | |
| 1 | 45 | 9.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 446 | |
| 1 | 45 | 9.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 446 | |
| 1 | 45 | 9.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 491 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 446 | |
| 1 | 45 | 9.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 491 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 446 | |
| 1 | 45 | 9.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 491 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 446 | |
| 1 | 45 | 9.2% |
HistoryVascular
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.0 KiB |
| 0 | |
|---|---|
| 1 | 29 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 491 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 462 | |
| 1 | 29 | 5.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 462 | |
| 1 | 29 | 5.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 462 | |
| 1 | 29 | 5.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 491 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 462 | |
| 1 | 29 | 5.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 491 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 462 | |
| 1 | 29 | 5.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 491 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 462 | |
| 1 | 29 | 5.9% |
HistorySmoking
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.0 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 491 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 416 | |
| 1 | 75 | 15.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 416 | |
| 1 | 75 | 15.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 416 | |
| 1 | 75 | 15.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 491 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 416 | |
| 1 | 75 | 15.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 491 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 416 | |
| 1 | 75 | 15.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 491 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 416 | |
| 1 | 75 | 15.3% |
HistoryHTN
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.0 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 491 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 335 | |
| 0 | 156 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 335 | |
| 0 | 156 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 335 | |
| 0 | 156 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 491 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 335 | |
| 0 | 156 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 491 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 335 | |
| 0 | 156 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 491 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 335 | |
| 0 | 156 |
HistoryDLD
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.0 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 491 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 317 | |
| 0 | 174 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 317 | |
| 0 | 174 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 317 | |
| 0 | 174 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 491 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 317 | |
| 0 | 174 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 491 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 317 | |
| 0 | 174 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 491 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 317 | |
| 0 | 174 |
HistoryObesity
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.0 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 491 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 248 | |
| 0 | 243 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 248 | |
| 0 | 243 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 248 | |
| 0 | 243 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 491 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 248 | |
| 0 | 243 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 491 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 248 | |
| 0 | 243 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 491 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 248 | |
| 0 | 243 |
DLDmeds
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.0 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 491 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 271 | |
| 0 | 220 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 271 | |
| 0 | 220 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 271 | |
| 0 | 220 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 491 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 271 | |
| 0 | 220 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 491 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 271 | |
| 0 | 220 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 491 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 271 | |
| 0 | 220 |
DMmeds
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.0 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 491 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 330 | |
| 1 | 161 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 330 | |
| 1 | 161 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 330 | |
| 1 | 161 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 491 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 330 | |
| 1 | 161 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 491 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 330 | |
| 1 | 161 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 491 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 330 | |
| 1 | 161 |
HTNmeds
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.0 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 491 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 303 | |
| 0 | 188 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 303 | |
| 0 | 188 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 303 | |
| 0 | 188 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 491 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 303 | |
| 0 | 188 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 491 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 303 | |
| 0 | 188 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 491 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 303 | |
| 0 | 188 |
ACEIARB
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.0 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 491 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 272 | |
| 1 | 219 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 272 | |
| 1 | 219 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 272 | |
| 1 | 219 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 491 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 272 | |
| 1 | 219 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 491 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 272 | |
| 1 | 219 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 491 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 272 | |
| 1 | 219 |
CholesterolBaseline
Real number (ℝ)
| Distinct | 70 |
|---|---|
| Distinct (%) | 14.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.9785743 |
| Minimum | 2.23 |
|---|---|
| Maximum | 9.3 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.0 KiB |
Quantile statistics
| Minimum | 2.23 |
|---|---|
| 5-th percentile | 3.2 |
| Q1 | 4.2 |
| median | 5 |
| Q3 | 5.77 |
| 95-th percentile | 6.7 |
| Maximum | 9.3 |
| Range | 7.07 |
| Interquartile range (IQR) | 1.57 |
Descriptive statistics
| Standard deviation | 1.0967017 |
|---|---|
| Coefficient of variation (CV) | 0.22028429 |
| Kurtosis | 0.051925448 |
| Mean | 4.9785743 |
| Median Absolute Deviation (MAD) | 0.8 |
| Skewness | 0.19348603 |
| Sum | 2444.48 |
| Variance | 1.2027547 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 5 | 26 | 5.3% |
| 5.8 | 20 | 4.1% |
| 4.5 | 19 | 3.9% |
| 4.3 | 18 | 3.7% |
| 5.1 | 17 | 3.5% |
| 5.3 | 17 | 3.5% |
| 5.7 | 17 | 3.5% |
| 5.2 | 16 | 3.3% |
| 4.8 | 15 | 3.1% |
| 5.9 | 15 | 3.1% |
| Other values (60) | 311 |
| Value | Count | Frequency (%) |
| 2.23 | 1 | 0.2% |
| 2.4 | 2 | 0.4% |
| 2.56 | 1 | 0.2% |
| 2.6 | 1 | 0.2% |
| 2.8 | 2 | 0.4% |
| 2.9 | 7 | |
| 2.96 | 1 | 0.2% |
| 3 | 5 | |
| 3.1 | 4 | |
| 3.2 | 3 |
| Value | Count | Frequency (%) |
| 9.3 | 1 | 0.2% |
| 8.2 | 1 | 0.2% |
| 8 | 1 | 0.2% |
| 7.8 | 1 | 0.2% |
| 7.7 | 1 | 0.2% |
| 7.5 | 3 | |
| 7.4 | 1 | 0.2% |
| 7.3 | 3 | |
| 7.2 | 1 | 0.2% |
| 7.1 | 2 |
CreatinineBaseline
Real number (ℝ)
HIGH CORRELATION
| Distinct | 89 |
|---|---|
| Distinct (%) | 18.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 67.856823 |
| Minimum | 6 |
|---|---|
| Maximum | 123 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.0 KiB |
Quantile statistics
| Minimum | 6 |
|---|---|
| 5-th percentile | 41.5 |
| Q1 | 55 |
| median | 66 |
| Q3 | 78.5 |
| 95-th percentile | 101 |
| Maximum | 123 |
| Range | 117 |
| Interquartile range (IQR) | 23.5 |
Descriptive statistics
| Standard deviation | 17.918627 |
|---|---|
| Coefficient of variation (CV) | 0.26406522 |
| Kurtosis | -0.11656027 |
| Mean | 67.856823 |
| Median Absolute Deviation (MAD) | 12 |
| Skewness | 0.27020997 |
| Sum | 33317.7 |
| Variance | 321.07719 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 59 | 21 | 4.3% |
| 63 | 15 | 3.1% |
| 69 | 14 | 2.9% |
| 64 | 14 | 2.9% |
| 71 | 13 | 2.6% |
| 66 | 13 | 2.6% |
| 57 | 11 | 2.2% |
| 49 | 11 | 2.2% |
| 73 | 10 | 2.0% |
| 76 | 10 | 2.0% |
| Other values (79) | 359 |
| Value | Count | Frequency (%) |
| 6 | 1 | 0.2% |
| 27 | 1 | 0.2% |
| 29 | 2 | |
| 30 | 1 | 0.2% |
| 31 | 2 | |
| 33 | 1 | 0.2% |
| 35 | 3 | |
| 37 | 2 | |
| 38 | 2 | |
| 39 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 123 | 1 | |
| 113 | 2 | |
| 111 | 1 | |
| 110 | 1 | |
| 109 | 1 | |
| 108 | 1 | |
| 107 | 2 | |
| 106 | 2 | |
| 105 | 1 | |
| 104 | 2 |
eGFRBaseline
Real number (ℝ)
HIGH CORRELATION
| Distinct | 324 |
|---|---|
| Distinct (%) | 66.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 98.11609 |
| Minimum | 60 |
|---|---|
| Maximum | 242.6 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.0 KiB |
Quantile statistics
| Minimum | 60 |
|---|---|
| 5-th percentile | 67.75 |
| Q1 | 86.4 |
| median | 98.1 |
| Q3 | 109.5 |
| 95-th percentile | 126.7 |
| Maximum | 242.6 |
| Range | 182.6 |
| Interquartile range (IQR) | 23.1 |
Descriptive statistics
| Standard deviation | 18.503267 |
|---|---|
| Coefficient of variation (CV) | 0.18858545 |
| Kurtosis | 6.7231652 |
| Mean | 98.11609 |
| Median Absolute Deviation (MAD) | 11.4 |
| Skewness | 0.97699064 |
| Sum | 48175 |
| Variance | 342.3709 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 100.1 | 5 | 1.0% |
| 105.5 | 5 | 1.0% |
| 90.1 | 5 | 1.0% |
| 93.3 | 4 | 0.8% |
| 109.5 | 4 | 0.8% |
| 90.4 | 4 | 0.8% |
| 87.7 | 4 | 0.8% |
| 100.6 | 4 | 0.8% |
| 104.3 | 4 | 0.8% |
| 87.3 | 4 | 0.8% |
| Other values (314) | 448 |
| Value | Count | Frequency (%) |
| 60 | 1 | |
| 60.4 | 1 | |
| 60.7 | 1 | |
| 62.2 | 1 | |
| 62.4 | 1 | |
| 63.2 | 1 | |
| 63.3 | 1 | |
| 63.5 | 2 | |
| 63.6 | 2 | |
| 64.2 | 1 |
| Value | Count | Frequency (%) |
| 242.6 | 1 | |
| 148.6 | 1 | |
| 144.1 | 1 | |
| 139.7 | 1 | |
| 139 | 1 | |
| 138.7 | 1 | |
| 137.2 | 1 | |
| 136.3 | 1 | |
| 135.8 | 1 | |
| 134.8 | 1 |
sBPBaseline
Real number (ℝ)
HIGH CORRELATION
| Distinct | 77 |
|---|---|
| Distinct (%) | 15.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 131.37475 |
| Minimum | 92 |
|---|---|
| Maximum | 180 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.0 KiB |
Quantile statistics
| Minimum | 92 |
|---|---|
| 5-th percentile | 107 |
| Q1 | 121 |
| median | 131 |
| Q3 | 141 |
| 95-th percentile | 160.5 |
| Maximum | 180 |
| Range | 88 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 15.69265 |
|---|---|
| Coefficient of variation (CV) | 0.11944952 |
| Kurtosis | 0.056712757 |
| Mean | 131.37475 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | 0.38188046 |
| Sum | 64505 |
| Variance | 246.25928 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 122 | 21 | 4.3% |
| 132 | 17 | 3.5% |
| 121 | 16 | 3.3% |
| 133 | 15 | 3.1% |
| 120 | 15 | 3.1% |
| 123 | 15 | 3.1% |
| 140 | 15 | 3.1% |
| 118 | 14 | 2.9% |
| 126 | 13 | 2.6% |
| 124 | 13 | 2.6% |
| Other values (67) | 337 |
| Value | Count | Frequency (%) |
| 92 | 1 | 0.2% |
| 95 | 1 | 0.2% |
| 99 | 1 | 0.2% |
| 100 | 6 | |
| 101 | 1 | 0.2% |
| 103 | 3 | |
| 104 | 2 | 0.4% |
| 105 | 3 | |
| 106 | 4 | |
| 107 | 5 |
| Value | Count | Frequency (%) |
| 180 | 1 | 0.2% |
| 177 | 1 | 0.2% |
| 176 | 2 | |
| 174 | 1 | 0.2% |
| 173 | 1 | 0.2% |
| 171 | 1 | 0.2% |
| 168 | 1 | 0.2% |
| 167 | 2 | |
| 166 | 2 | |
| 165 | 3 |
dBPBaseline
Real number (ℝ)
HIGH CORRELATION
| Distinct | 57 |
|---|---|
| Distinct (%) | 11.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 76.87169 |
| Minimum | 41 |
|---|---|
| Maximum | 112 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.0 KiB |
Quantile statistics
| Minimum | 41 |
|---|---|
| 5-th percentile | 60 |
| Q1 | 69 |
| median | 77 |
| Q3 | 83 |
| 95-th percentile | 95 |
| Maximum | 112 |
| Range | 71 |
| Interquartile range (IQR) | 14 |
Descriptive statistics
| Standard deviation | 10.711134 |
|---|---|
| Coefficient of variation (CV) | 0.13933783 |
| Kurtosis | 0.38394467 |
| Mean | 76.87169 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 0.13844313 |
| Sum | 37744 |
| Variance | 114.7284 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 80 | 24 | 4.9% |
| 74 | 21 | 4.3% |
| 82 | 20 | 4.1% |
| 75 | 20 | 4.1% |
| 77 | 19 | 3.9% |
| 78 | 19 | 3.9% |
| 68 | 18 | 3.7% |
| 76 | 18 | 3.7% |
| 79 | 18 | 3.7% |
| 69 | 17 | 3.5% |
| Other values (47) | 297 |
| Value | Count | Frequency (%) |
| 41 | 1 | 0.2% |
| 45 | 1 | 0.2% |
| 46 | 1 | 0.2% |
| 53 | 2 | 0.4% |
| 54 | 2 | 0.4% |
| 55 | 2 | 0.4% |
| 57 | 5 | |
| 58 | 3 | 0.6% |
| 59 | 1 | 0.2% |
| 60 | 9 |
| Value | Count | Frequency (%) |
| 112 | 2 | |
| 110 | 1 | |
| 108 | 1 | |
| 107 | 1 | |
| 103 | 1 | |
| 102 | 1 | |
| 101 | 1 | |
| 100 | 2 | |
| 99 | 2 | |
| 98 | 2 |
BMIBaseline
Real number (ℝ)
HIGH CORRELATION
| Distinct | 37 |
|---|---|
| Distinct (%) | 7.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 30.183299 |
| Minimum | 13 |
|---|---|
| Maximum | 57 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.0 KiB |
Quantile statistics
| Minimum | 13 |
|---|---|
| 5-th percentile | 22 |
| Q1 | 26 |
| median | 30 |
| Q3 | 33 |
| 95-th percentile | 42 |
| Maximum | 57 |
| Range | 44 |
| Interquartile range (IQR) | 7 |
Descriptive statistics
| Standard deviation | 6.2367415 |
|---|---|
| Coefficient of variation (CV) | 0.20662889 |
| Kurtosis | 1.6974345 |
| Mean | 30.183299 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 0.96041043 |
| Sum | 14820 |
| Variance | 38.896945 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=37)
| Value | Count | Frequency (%) |
| 30 | 43 | 8.8% |
| 27 | 42 | 8.6% |
| 28 | 38 | 7.7% |
| 32 | 34 | 6.9% |
| 31 | 34 | 6.9% |
| 24 | 33 | 6.7% |
| 25 | 31 | 6.3% |
| 29 | 27 | 5.5% |
| 33 | 27 | 5.5% |
| 26 | 22 | 4.5% |
| Other values (27) | 160 |
| Value | Count | Frequency (%) |
| 13 | 1 | 0.2% |
| 16 | 1 | 0.2% |
| 17 | 2 | 0.4% |
| 18 | 1 | 0.2% |
| 19 | 3 | 0.6% |
| 21 | 13 | 2.6% |
| 22 | 7 | 1.4% |
| 23 | 22 | |
| 24 | 33 | |
| 25 | 31 |
| Value | Count | Frequency (%) |
| 57 | 1 | 0.2% |
| 53 | 1 | 0.2% |
| 52 | 3 | |
| 51 | 1 | 0.2% |
| 49 | 2 | |
| 47 | 2 | |
| 46 | 2 | |
| 45 | 3 | |
| 44 | 3 | |
| 43 | 3 |
TimeToEventMonths
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 93 |
|---|---|
| Distinct (%) | 18.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 83.065173 |
| Minimum | 0 |
|---|---|
| Maximum | 111 |
| Zeros | 6 |
| Zeros (%) | 1.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 19 |
| Q1 | 77 |
| median | 93 |
| Q3 | 100 |
| 95-th percentile | 106 |
| Maximum | 111 |
| Range | 111 |
| Interquartile range (IQR) | 23 |
Descriptive statistics
| Standard deviation | 26.01114 |
|---|---|
| Coefficient of variation (CV) | 0.31314135 |
| Kurtosis | 1.8987856 |
| Mean | 83.065173 |
| Median Absolute Deviation (MAD) | 9 |
| Skewness | -1.6421144 |
| Sum | 40785 |
| Variance | 676.57942 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 100 | 24 | 4.9% |
| 99 | 20 | 4.1% |
| 105 | 19 | 3.9% |
| 93 | 19 | 3.9% |
| 94 | 19 | 3.9% |
| 96 | 18 | 3.7% |
| 98 | 17 | 3.5% |
| 88 | 17 | 3.5% |
| 101 | 17 | 3.5% |
| 104 | 16 | 3.3% |
| Other values (83) | 305 |
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 3 | 2 | 0.4% |
| 4 | 1 | 0.2% |
| 5 | 1 | 0.2% |
| 7 | 1 | 0.2% |
| 8 | 3 | |
| 9 | 1 | 0.2% |
| 10 | 1 | 0.2% |
| 11 | 1 | 0.2% |
| 13 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 111 | 1 | 0.2% |
| 109 | 2 | 0.4% |
| 108 | 9 | |
| 107 | 12 | |
| 106 | 10 | |
| 105 | 19 | |
| 104 | 16 | |
| 103 | 9 | |
| 102 | 13 | |
| 101 | 17 |
EventCKD35
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.0 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 491 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 435 | |
| 1 | 56 | 11.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 435 | |
| 1 | 56 | 11.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 435 | |
| 1 | 56 | 11.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 491 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 435 | |
| 1 | 56 | 11.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 491 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 435 | |
| 1 | 56 | 11.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 491 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 435 | |
| 1 | 56 | 11.4% |
TIME_YEAR
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 10 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.9409369 |
| Minimum | 0 |
|---|---|
| Maximum | 9 |
| Zeros | 10 |
| Zeros (%) | 2.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 6 |
| median | 8 |
| Q3 | 8 |
| 95-th percentile | 9 |
| Maximum | 9 |
| Range | 9 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.2017095 |
|---|---|
| Coefficient of variation (CV) | 0.31720639 |
| Kurtosis | 1.793421 |
| Mean | 6.9409369 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | -1.5801472 |
| Sum | 3408 |
| Variance | 4.8475248 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 8 | 196 | |
| 9 | 91 | |
| 7 | 79 | |
| 6 | 34 | 6.9% |
| 4 | 25 | 5.1% |
| 5 | 18 | 3.7% |
| 1 | 14 | 2.9% |
| 3 | 12 | 2.4% |
| 2 | 12 | 2.4% |
| 0 | 10 | 2.0% |
| Value | Count | Frequency (%) |
| 0 | 10 | 2.0% |
| 1 | 14 | 2.9% |
| 2 | 12 | 2.4% |
| 3 | 12 | 2.4% |
| 4 | 25 | 5.1% |
| 5 | 18 | 3.7% |
| 6 | 34 | 6.9% |
| 7 | 79 | |
| 8 | 196 | |
| 9 | 91 |
| Value | Count | Frequency (%) |
| 9 | 91 | |
| 8 | 196 | |
| 7 | 79 | |
| 6 | 34 | 6.9% |
| 5 | 18 | 3.7% |
| 4 | 25 | 5.1% |
| 3 | 12 | 2.4% |
| 2 | 12 | 2.4% |
| 1 | 14 | 2.9% |
| 0 | 10 | 2.0% |
| AgeBaseline | CholesterolBaseline | CreatinineBaseline | eGFRBaseline | sBPBaseline | dBPBaseline | BMIBaseline | TimeToEventMonths | TIME_YEAR | Sex | HistoryDiabetes | HistoryCHD | HistoryVascular | HistorySmoking | HistoryHTN | HistoryDLD | HistoryObesity | DLDmeds | DMmeds | HTNmeds | ACEIARB | EventCKD35 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AgeBaseline | 1.000 | -0.067 | 0.102 | -0.654 | 0.189 | -0.105 | -0.117 | 0.023 | 0.018 | 0.199 | 0.352 | 0.246 | 0.191 | 0.000 | 0.302 | 0.376 | 0.220 | 0.389 | 0.274 | 0.349 | 0.271 | 0.250 |
| CholesterolBaseline | -0.067 | 1.000 | -0.099 | 0.058 | 0.021 | 0.060 | 0.134 | 0.017 | 0.013 | 0.089 | 0.132 | 0.200 | 0.187 | 0.039 | 0.000 | 0.243 | 0.100 | 0.187 | 0.203 | 0.097 | 0.077 | 0.149 |
| CreatinineBaseline | 0.102 | -0.099 | 1.000 | -0.689 | 0.057 | 0.034 | -0.143 | -0.185 | -0.185 | 0.656 | 0.094 | 0.162 | 0.272 | 0.228 | 0.107 | 0.087 | 0.000 | 0.105 | 0.113 | 0.121 | 0.169 | 0.267 |
| eGFRBaseline | -0.654 | 0.058 | -0.689 | 1.000 | -0.160 | 0.057 | 0.061 | 0.128 | 0.128 | 0.180 | 0.294 | 0.255 | 0.308 | 0.050 | 0.303 | 0.318 | 0.098 | 0.337 | 0.237 | 0.332 | 0.294 | 0.387 |
| sBPBaseline | 0.189 | 0.021 | 0.057 | -0.160 | 1.000 | 0.600 | 0.136 | -0.041 | -0.057 | 0.000 | 0.193 | 0.175 | 0.000 | 0.199 | 0.487 | 0.000 | 0.166 | 0.105 | 0.140 | 0.335 | 0.258 | 0.093 |
| dBPBaseline | -0.105 | 0.060 | 0.034 | 0.057 | 0.600 | 1.000 | 0.189 | 0.010 | 0.016 | 0.092 | 0.000 | 0.092 | 0.000 | 0.079 | 0.269 | 0.000 | 0.188 | 0.000 | 0.048 | 0.145 | 0.121 | 0.141 |
| BMIBaseline | -0.117 | 0.134 | -0.143 | 0.061 | 0.136 | 0.189 | 1.000 | 0.026 | 0.022 | 0.255 | 0.000 | 0.000 | 0.207 | 0.174 | 0.092 | 0.108 | 0.856 | 0.101 | 0.000 | 0.000 | 0.000 | 0.000 |
| TimeToEventMonths | 0.023 | 0.017 | -0.185 | 0.128 | -0.041 | 0.010 | 0.026 | 1.000 | 0.962 | 0.166 | 0.159 | 0.189 | 0.082 | 0.124 | 0.180 | 0.112 | 0.000 | 0.165 | 0.220 | 0.146 | 0.124 | 0.473 |
| TIME_YEAR | 0.018 | 0.013 | -0.185 | 0.128 | -0.057 | 0.016 | 0.022 | 0.962 | 1.000 | 0.166 | 0.151 | 0.202 | 0.014 | 0.150 | 0.164 | 0.000 | 0.023 | 0.076 | 0.228 | 0.123 | 0.132 | 0.486 |
| Sex | 0.199 | 0.089 | 0.656 | 0.180 | 0.000 | 0.092 | 0.255 | 0.166 | 0.166 | 1.000 | 0.020 | 0.128 | 0.107 | 0.386 | 0.000 | 0.000 | 0.197 | 0.000 | 0.069 | 0.000 | 0.087 | 0.077 |
| HistoryDiabetes | 0.352 | 0.132 | 0.094 | 0.294 | 0.193 | 0.000 | 0.000 | 0.159 | 0.151 | 0.020 | 1.000 | 0.220 | 0.048 | 0.000 | 0.304 | 0.329 | 0.034 | 0.393 | 0.787 | 0.342 | 0.324 | 0.281 |
| HistoryCHD | 0.246 | 0.200 | 0.162 | 0.255 | 0.175 | 0.092 | 0.000 | 0.189 | 0.202 | 0.128 | 0.220 | 1.000 | 0.072 | 0.025 | 0.142 | 0.193 | 0.000 | 0.218 | 0.248 | 0.179 | 0.171 | 0.249 |
| HistoryVascular | 0.191 | 0.187 | 0.272 | 0.308 | 0.000 | 0.000 | 0.207 | 0.082 | 0.014 | 0.107 | 0.048 | 0.072 | 1.000 | 0.087 | 0.075 | 0.000 | 0.152 | 0.000 | 0.058 | 0.089 | 0.065 | 0.074 |
| HistorySmoking | 0.000 | 0.039 | 0.228 | 0.050 | 0.199 | 0.079 | 0.174 | 0.124 | 0.150 | 0.386 | 0.000 | 0.025 | 0.087 | 1.000 | 0.000 | 0.000 | 0.096 | 0.000 | 0.000 | 0.000 | 0.000 | 0.076 |
| HistoryHTN | 0.302 | 0.000 | 0.107 | 0.303 | 0.487 | 0.269 | 0.092 | 0.180 | 0.164 | 0.000 | 0.304 | 0.142 | 0.075 | 0.000 | 1.000 | 0.226 | 0.135 | 0.328 | 0.263 | 0.862 | 0.607 | 0.163 |
| HistoryDLD | 0.376 | 0.243 | 0.087 | 0.318 | 0.000 | 0.000 | 0.108 | 0.112 | 0.000 | 0.000 | 0.329 | 0.193 | 0.000 | 0.000 | 0.226 | 1.000 | 0.076 | 0.818 | 0.255 | 0.285 | 0.272 | 0.131 |
| HistoryObesity | 0.220 | 0.100 | 0.000 | 0.098 | 0.166 | 0.188 | 0.856 | 0.000 | 0.023 | 0.197 | 0.034 | 0.000 | 0.152 | 0.096 | 0.135 | 0.076 | 1.000 | 0.043 | 0.000 | 0.094 | 0.046 | 0.000 |
| DLDmeds | 0.389 | 0.187 | 0.105 | 0.337 | 0.105 | 0.000 | 0.101 | 0.165 | 0.076 | 0.000 | 0.393 | 0.218 | 0.000 | 0.000 | 0.328 | 0.818 | 0.043 | 1.000 | 0.317 | 0.388 | 0.340 | 0.156 |
| DMmeds | 0.274 | 0.203 | 0.113 | 0.237 | 0.140 | 0.048 | 0.000 | 0.220 | 0.228 | 0.069 | 0.787 | 0.248 | 0.058 | 0.000 | 0.263 | 0.255 | 0.000 | 0.317 | 1.000 | 0.320 | 0.344 | 0.299 |
| HTNmeds | 0.349 | 0.097 | 0.121 | 0.332 | 0.335 | 0.145 | 0.000 | 0.146 | 0.123 | 0.000 | 0.342 | 0.179 | 0.089 | 0.000 | 0.862 | 0.285 | 0.094 | 0.388 | 0.320 | 1.000 | 0.702 | 0.151 |
| ACEIARB | 0.271 | 0.077 | 0.169 | 0.294 | 0.258 | 0.121 | 0.000 | 0.124 | 0.132 | 0.087 | 0.324 | 0.171 | 0.065 | 0.000 | 0.607 | 0.272 | 0.046 | 0.340 | 0.344 | 0.702 | 1.000 | 0.222 |
| EventCKD35 | 0.250 | 0.149 | 0.267 | 0.387 | 0.093 | 0.141 | 0.000 | 0.473 | 0.486 | 0.077 | 0.281 | 0.249 | 0.074 | 0.076 | 0.163 | 0.131 | 0.000 | 0.156 | 0.299 | 0.151 | 0.222 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| Sex | AgeBaseline | HistoryDiabetes | HistoryCHD | HistoryVascular | HistorySmoking | HistoryHTN | HistoryDLD | HistoryObesity | DLDmeds | DMmeds | HTNmeds | ACEIARB | CholesterolBaseline | CreatinineBaseline | eGFRBaseline | sBPBaseline | dBPBaseline | BMIBaseline | TimeToEventMonths | EventCKD35 | TIME_YEAR | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 64 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 4.8 | 59.0 | 93.3 | 144 | 87 | 40 | 98 | 0 | 8 |
| 1 | 0 | 52 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 6.4 | 52.0 | 105.8 | 148 | 91 | 45 | 106 | 0 | 9 |
| 2 | 0 | 56 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 6.4 | 57.0 | 99.8 | 149 | 86 | 41 | 88 | 0 | 7 |
| 3 | 0 | 58 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 5.1 | 65.0 | 90.3 | 116 | 68 | 32 | 103 | 0 | 9 |
| 4 | 0 | 63 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 5.0 | 70.0 | 79.7 | 132 | 63 | 31 | 105 | 0 | 9 |
| 5 | 0 | 51 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 4.9 | 57.0 | 103.4 | 124 | 84 | 37 | 105 | 0 | 9 |
| 6 | 0 | 71 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 5.6 | 59.0 | 88.8 | 125 | 72 | 36 | 98 | 0 | 8 |
| 7 | 0 | 44 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 6.6 | 69.0 | 92.7 | 120 | 77 | 44 | 93 | 0 | 8 |
| 8 | 0 | 54 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 5.0 | 63.0 | 96.5 | 123 | 79 | 40 | 88 | 0 | 7 |
| 9 | 0 | 44 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 5.7 | 54.0 | 110.6 | 157 | 87 | 36 | 103 | 0 | 9 |
| Sex | AgeBaseline | HistoryDiabetes | HistoryCHD | HistoryVascular | HistorySmoking | HistoryHTN | HistoryDLD | HistoryObesity | DLDmeds | DMmeds | HTNmeds | ACEIARB | CholesterolBaseline | CreatinineBaseline | eGFRBaseline | sBPBaseline | dBPBaseline | BMIBaseline | TimeToEventMonths | EventCKD35 | TIME_YEAR | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 481 | 1 | 25 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 5.80 | 80.0 | 117.6 | 136 | 88 | 28 | 64 | 0 | 5 |
| 482 | 1 | 76 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 4.40 | 96.0 | 65.9 | 153 | 61 | 23 | 4 | 1 | 0 |
| 483 | 1 | 70 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 4.70 | 64.0 | 94.3 | 145 | 70 | 21 | 105 | 0 | 9 |
| 484 | 1 | 27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4.40 | 97.0 | 91.8 | 136 | 79 | 21 | 52 | 0 | 4 |
| 485 | 1 | 61 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 4.20 | 104.0 | 66.5 | 126 | 82 | 32 | 93 | 0 | 8 |
| 486 | 1 | 25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5.30 | 73.0 | 122.6 | 127 | 74 | 24 | 102 | 0 | 9 |
| 487 | 1 | 45 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5.90 | 67.0 | 110.3 | 150 | 112 | 33 | 94 | 0 | 8 |
| 488 | 1 | 44 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 6.41 | 66.3 | 111.6 | 126 | 83 | 35 | 0 | 0 | 0 |
| 489 | 1 | 41 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 4.00 | 93.0 | 87.6 | 119 | 66 | 22 | 35 | 1 | 3 |
| 490 | 1 | 24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2.23 | 65.0 | 129.5 | 121 | 55 | 21 | 106 | 0 | 9 |